Online driver behavior classification using probabilistic ARX models
Paper i proceeding, 2013

This paper shows how a probabilistic ARX model can be used to predict the driver's steering behavior and classify the current driving style, based on measurements from the vehicle sensors. An algorithm, online classifying the driving style and predicting the steering behavior, is designed and validated on data recorded on a test track. The algorithm is designed to distinguish between two driving styles corresponding to normal and aggressive driving.

driver identification

active safety

Författare

Malin Sundbom

Signaler och system, System- och reglerteknik, Mekatronik

Paolo Falcone

Signaler och system, System- och reglerteknik, Mekatronik

Jonas Sjöberg

Signaler och system, System- och reglerteknik, Mekatronik

16th International IEEE Conference on Intelligent Transportation Systems, October 2013, The Hague, The Netherlands

1107-1112

Styrkeområden

Transport

Ämneskategorier

Reglerteknik

DOI

10.1109/ITSC.2013.6728380

ISBN

978-147992914-6